Hi Jakub here, solo founder from Warsaw. I built GoModel and I'm launching it here very soon. Show HN hit #4 in April. GoModel is an open-source AI gateway in Go. You can think of it like a self-hosted OpenRouter. It's one OpenAI-compatible API for every model provider, with budgets, caching, guardrails, load balancing, and failover.
In March LiteLLM shipped a compromised PyPI release. Then Portkey went to Palo Alto and TensorZero stopped operating. People are looking for more robust alternatives and GoModel is one of them.
If you use LiteLLM today or are considering an AI gateway for internal use - what would make you try GoModel in prod? Cost, data privacy, compliance, user interface - or is hosted just easier and you'd never bother?
Follow the page for the launch ping. Happy to answer any question.
Open-source AI gateway in Go. One OpenAI-compatible API for every provider, with budgets, caching, guardrails, load balancing, and failover. Single binary, ~20MB docker image , MIT, bring your own keys. A self-hosted alternative to OpenRouter and LiteLLM.
I used Fable 5.1 for coding whole day and it's definitely the best publicly available model for this purpose. I'm curious what are your experiences related to other use cases.
GoModel
